AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Computer Security

Showing 171 to 180 of 352 articles

Clear Filters

Android Spyware Detection Using Machine Learning: A Novel Dataset.

Sensors (Basel, Switzerland)
Smartphones are an essential part of all aspects of our lives. Socially, politically, and commercially, there is almost complete reliance on smartphones as a communication tool, a source of information, and for entertainment. Rapid developments in th...

A dynamic AES cryptosystem based on memristive neural network.

Scientific reports
This paper proposes an advanced encryption standard (AES) cryptosystem based on memristive neural network. A memristive chaotic neural network is constructed by using the nonlinear characteristics of a memristor. A chaotic sequence, which is sensitiv...

Privacy-Preserving Multi-Class Support Vector Machine Model on Medical Diagnosis.

IEEE journal of biomedical and health informatics
With the rapid development of machine learning in the medical cloud system, cloud-assisted medical computing provides a concrete platform for remote rapid medical diagnosis services. Support vector machine (SVM), as one of the important algorithms of...

Optimization of Cyber Tactics in Sports Strategies Using Hybrid AI Decision-Making Technologies.

Computational intelligence and neuroscience
One of the main problems of modern research concerns the optimal design of solutions to address cybersecurity problems, with methods that provide the ability to choose an objective function different from that of the classic problem of more economica...

Using deep learning to detect digitally encoded DNA trigger for Trojan malware in Bio-Cyber attacks.

Scientific reports
This article uses Deep Learning technologies to safeguard DNA sequencing against Bio-Cyber attacks. We consider a hybrid attack scenario where the payload is encoded into a DNA sequence to activate a Trojan malware implanted in a software tool used i...

Deep Learning-Based Privacy-Preserving Data Transmission Scheme for Clustered IIoT Environment.

Computational intelligence and neuroscience
The Industrial Internet of Things (IIoT) has received significant attention from several leading industries like agriculture, mining, transport, energy, and healthcare. IIoT acts as a vital part of Industry 4.0 that mainly employs machine learning (M...

Cross Deep Learning Method for Effectively Detecting the Propagation of IoT Botnet.

Sensors (Basel, Switzerland)
In recent times, organisations in a variety of businesses, such as healthcare, education, and others, have been using the Internet of Things (IoT) to produce more competent and improved services. The widespread use of IoT devices makes our lives easi...

TagSeq: Malicious behavior discovery using dynamic analysis.

PloS one
In recent years, studies on malware analysis have noticeably increased in the cybersecurity community. Most recent studies concentrate on malware classification and detection or malicious patterns identification, but as to malware activity, it still ...

Power Intelligent Terminal Intrusion Detection Based on Deep Learning and Cloud Computing.

Computational intelligence and neuroscience
Numerous internal and external intrusion attacks have appeared one after another, which has become a major problem affecting the normal operation of the power system. The power system is the infrastructure of the national economy, ensuring that the i...

Cyber Threat Intelligence-Based Malicious URL Detection Model Using Ensemble Learning.

Sensors (Basel, Switzerland)
Web applications have become ubiquitous for many business sectors due to their platform independence and low operation cost. Billions of users are visiting these applications to accomplish their daily tasks. However, many of these applications are ei...